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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSun, 27 May 2012 08:13:06 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/May/27/t1338120853k5ek2z5iqn5b98s.htm/, Retrieved Wed, 08 May 2024 08:10:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=167690, Retrieved Wed, 08 May 2024 08:10:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsKDG201142
Estimated Impact140

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Harrell-Davis Quantiles] [Decielen Inschrij...] [2012-05-27 12:00:49] [10e562ecd6dbeeb8097ec4a918c2660c]
- R P   [Harrell-Davis Quantiles] [quantielen inschr...] [2012-05-27 12:05:10] [10e562ecd6dbeeb8097ec4a918c2660c]
-    D      [Harrell-Davis Quantiles] [Quantielen aantal...] [2012-05-27 12:13:06] [e46afc21a91140cf7fea495f009879eb] [Current]
- RMPD        [Mean Plot] [Mean plot inschri...] [2012-05-27 15:17:39] [10e562ecd6dbeeb8097ec4a918c2660c]
- RMPD        [(Partial) Autocorrelation Function] [Autocorrelatie in...] [2012-05-27 16:44:47] [10e562ecd6dbeeb8097ec4a918c2660c]
- RMPD        [(Partial) Autocorrelation Function] [Autocorrelatie in...] [2012-05-27 16:57:10] [10e562ecd6dbeeb8097ec4a918c2660c]
- RMP         [(Partial) Autocorrelation Function] [Autocorrelatie aa...] [2012-05-27 16:58:40] [10e562ecd6dbeeb8097ec4a918c2660c]
- RMP         [(Partial) Autocorrelation Function] [Autocorrelatie aa...] [2012-05-27 17:19:19] [10e562ecd6dbeeb8097ec4a918c2660c]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.974
2.037
2.259
2.550
2.549
2.738
2.228
2.533
2.475
2.260
2.158
2.253
2.670
2.449
2.620
2.205
2.589
2.706
2.352
2.478
2.316
2.295
2.110
1.944
2.202
2.036
2.434
2.297
2.354
2.650
2.555
2.477
2.268
2.510
2.015
1.994
2.271
2.289
2.333
2.795
2.332
2.799
2.294
2.415
2.473
2.236
1.970
2.318
2.108
2.064
2.519
2.298
2.187
2.746
2.364
2.512
2.224
2.209
2.186
2.303
2.381
2.432
2.913
2.392
2.532
2.709
2.387
2.609
2.399
2.184
1.839
2.056
2.151
2.155
2.463
2.155
2.679
2.367
2.052
2.547
2.466

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167690&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167690&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167690&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.872131230944320.080153311342912
0.021.914245850280330.0523096224302189
0.031.947558626550690.0347490231873833
0.041.970239404613630.0286966586402065
0.051.986618820204170.0285776512907233
0.062.00024345473550.0297357995022961
0.072.012730616663240.0305517688906533
0.082.024617029955990.0311652095279792
0.092.036122328441970.0322458140350503
0.12.047461829889380.0342208498929356
0.112.058868876455990.0369574292753066
0.122.070514771485220.0399025149293677
0.132.082439747972660.0423901391882341
0.142.094538459665250.043896112814784
0.152.106597564576430.0441689780121303
0.162.118361146549970.043253210878479
0.172.129596457038780.0414225568152518
0.182.140140336380720.0390669006320089
0.192.149918552763590.0365832370257738
0.22.158940747426390.034290983912926
0.212.167279746898450.0323935046044121
0.222.175045247145380.0309667081493056
0.232.182359636424310.0300067329417567
0.242.189340058042080.029456618233482
0.252.196087493914150.0292309220477099
0.262.202681621600680.0292429123552971
0.272.209179551592370.0294073153721822
0.282.215616835920420.0296268242061182
0.292.222009762481150.0298271596234
0.32.228358475016180.0299428463670019
0.312.234650711384780.0299274624756393
0.322.240865972042410.0297514514590869
0.332.24697985237240.0294185723874586
0.342.252968219298560.0289347869387313
0.352.258810936411840.0283407037450335
0.362.26449492406220.027676234827722
0.372.270016428708610.0269960782932387
0.382.275382425839980.0263568083531706
0.392.280611086112310.025826658724681
0.42.28573122570080.0254550325423871
0.412.290780686483330.0252997090952593
0.422.295803683977220.0253957828942664
0.432.300847320583330.0257461066938574
0.442.305957649322020.0263352747441036
0.452.311175825266020.0271235529862169
0.462.316534936270940.0280458990505663
0.472.322058026074580.0290382320697545
0.482.327757616768810.0300376893395065
0.492.333636748442180.0309963579666912
0.52.339691249930370.0318804533002183
0.512.345912707622080.0326801072039472
0.522.352291464600750.0334112198835873
0.532.358818987779760.0340837912722354
0.542.365489083421810.0347250809677767
0.552.37229769276310.0353519999466573
0.562.379241312423350.0359623731104841
0.572.386314402065640.0365448828780621
0.582.393506405260920.0370602164647464
0.592.400799164288660.0374570596676591
0.62.408165513469390.037674777487252
0.612.415569667244250.0376634666127362
0.622.422969687059980.0373898949712223
0.632.430321860235820.0368502630900201
0.642.437586336946840.0360688015448937
0.652.444732959701970.035124296860121
0.662.451746003224720.0341051296506257
0.672.458626619353330.0331143038317007
0.682.465392192482090.0322534466096353
0.692.472072512241130.0315864243673598
0.72.478703523959680.0311348552761958
0.712.485320212571680.0308611185703083
0.722.491950675422950.0307054932574063
0.732.498613447989430.0305752295671637
0.742.505319571176240.0304106937647097
0.752.512079779453040.0301973855546941
0.762.518915742735270.0299899304470129
0.772.52587282896740.0299149712859655
0.782.533030756079510.0301565034490653
0.792.540508159289730.0309152294126482
0.82.548457807477280.0323452458612318
0.812.557051042886360.0344815599624821
0.822.566452744141930.0372148939004318
0.832.57679110024940.0402787128003331
0.842.588128842674350.0433091596331393
0.852.60044344565990.0459050389521094
0.862.61362270405510.0477030777194149
0.872.627479239170230.0484580831588215
0.882.641783724223890.0480863143662321
0.892.656313081111530.0466862153835534
0.92.670907247558620.0445445428436386
0.912.685525722057390.0420992872015699
0.922.700291204917180.039876132162936
0.932.715504706642720.0383780752052379
0.942.73163759087750.0378696228020572
0.952.749406403521620.0381246595594668
0.962.770204375425870.0387679550659448
0.972.796929024887150.0418995571805491
0.982.833425002471550.0557934163924998
0.992.878045633581960.0848603330292742

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 1.87213123094432 & 0.080153311342912 \tabularnewline
0.02 & 1.91424585028033 & 0.0523096224302189 \tabularnewline
0.03 & 1.94755862655069 & 0.0347490231873833 \tabularnewline
0.04 & 1.97023940461363 & 0.0286966586402065 \tabularnewline
0.05 & 1.98661882020417 & 0.0285776512907233 \tabularnewline
0.06 & 2.0002434547355 & 0.0297357995022961 \tabularnewline
0.07 & 2.01273061666324 & 0.0305517688906533 \tabularnewline
0.08 & 2.02461702995599 & 0.0311652095279792 \tabularnewline
0.09 & 2.03612232844197 & 0.0322458140350503 \tabularnewline
0.1 & 2.04746182988938 & 0.0342208498929356 \tabularnewline
0.11 & 2.05886887645599 & 0.0369574292753066 \tabularnewline
0.12 & 2.07051477148522 & 0.0399025149293677 \tabularnewline
0.13 & 2.08243974797266 & 0.0423901391882341 \tabularnewline
0.14 & 2.09453845966525 & 0.043896112814784 \tabularnewline
0.15 & 2.10659756457643 & 0.0441689780121303 \tabularnewline
0.16 & 2.11836114654997 & 0.043253210878479 \tabularnewline
0.17 & 2.12959645703878 & 0.0414225568152518 \tabularnewline
0.18 & 2.14014033638072 & 0.0390669006320089 \tabularnewline
0.19 & 2.14991855276359 & 0.0365832370257738 \tabularnewline
0.2 & 2.15894074742639 & 0.034290983912926 \tabularnewline
0.21 & 2.16727974689845 & 0.0323935046044121 \tabularnewline
0.22 & 2.17504524714538 & 0.0309667081493056 \tabularnewline
0.23 & 2.18235963642431 & 0.0300067329417567 \tabularnewline
0.24 & 2.18934005804208 & 0.029456618233482 \tabularnewline
0.25 & 2.19608749391415 & 0.0292309220477099 \tabularnewline
0.26 & 2.20268162160068 & 0.0292429123552971 \tabularnewline
0.27 & 2.20917955159237 & 0.0294073153721822 \tabularnewline
0.28 & 2.21561683592042 & 0.0296268242061182 \tabularnewline
0.29 & 2.22200976248115 & 0.0298271596234 \tabularnewline
0.3 & 2.22835847501618 & 0.0299428463670019 \tabularnewline
0.31 & 2.23465071138478 & 0.0299274624756393 \tabularnewline
0.32 & 2.24086597204241 & 0.0297514514590869 \tabularnewline
0.33 & 2.2469798523724 & 0.0294185723874586 \tabularnewline
0.34 & 2.25296821929856 & 0.0289347869387313 \tabularnewline
0.35 & 2.25881093641184 & 0.0283407037450335 \tabularnewline
0.36 & 2.2644949240622 & 0.027676234827722 \tabularnewline
0.37 & 2.27001642870861 & 0.0269960782932387 \tabularnewline
0.38 & 2.27538242583998 & 0.0263568083531706 \tabularnewline
0.39 & 2.28061108611231 & 0.025826658724681 \tabularnewline
0.4 & 2.2857312257008 & 0.0254550325423871 \tabularnewline
0.41 & 2.29078068648333 & 0.0252997090952593 \tabularnewline
0.42 & 2.29580368397722 & 0.0253957828942664 \tabularnewline
0.43 & 2.30084732058333 & 0.0257461066938574 \tabularnewline
0.44 & 2.30595764932202 & 0.0263352747441036 \tabularnewline
0.45 & 2.31117582526602 & 0.0271235529862169 \tabularnewline
0.46 & 2.31653493627094 & 0.0280458990505663 \tabularnewline
0.47 & 2.32205802607458 & 0.0290382320697545 \tabularnewline
0.48 & 2.32775761676881 & 0.0300376893395065 \tabularnewline
0.49 & 2.33363674844218 & 0.0309963579666912 \tabularnewline
0.5 & 2.33969124993037 & 0.0318804533002183 \tabularnewline
0.51 & 2.34591270762208 & 0.0326801072039472 \tabularnewline
0.52 & 2.35229146460075 & 0.0334112198835873 \tabularnewline
0.53 & 2.35881898777976 & 0.0340837912722354 \tabularnewline
0.54 & 2.36548908342181 & 0.0347250809677767 \tabularnewline
0.55 & 2.3722976927631 & 0.0353519999466573 \tabularnewline
0.56 & 2.37924131242335 & 0.0359623731104841 \tabularnewline
0.57 & 2.38631440206564 & 0.0365448828780621 \tabularnewline
0.58 & 2.39350640526092 & 0.0370602164647464 \tabularnewline
0.59 & 2.40079916428866 & 0.0374570596676591 \tabularnewline
0.6 & 2.40816551346939 & 0.037674777487252 \tabularnewline
0.61 & 2.41556966724425 & 0.0376634666127362 \tabularnewline
0.62 & 2.42296968705998 & 0.0373898949712223 \tabularnewline
0.63 & 2.43032186023582 & 0.0368502630900201 \tabularnewline
0.64 & 2.43758633694684 & 0.0360688015448937 \tabularnewline
0.65 & 2.44473295970197 & 0.035124296860121 \tabularnewline
0.66 & 2.45174600322472 & 0.0341051296506257 \tabularnewline
0.67 & 2.45862661935333 & 0.0331143038317007 \tabularnewline
0.68 & 2.46539219248209 & 0.0322534466096353 \tabularnewline
0.69 & 2.47207251224113 & 0.0315864243673598 \tabularnewline
0.7 & 2.47870352395968 & 0.0311348552761958 \tabularnewline
0.71 & 2.48532021257168 & 0.0308611185703083 \tabularnewline
0.72 & 2.49195067542295 & 0.0307054932574063 \tabularnewline
0.73 & 2.49861344798943 & 0.0305752295671637 \tabularnewline
0.74 & 2.50531957117624 & 0.0304106937647097 \tabularnewline
0.75 & 2.51207977945304 & 0.0301973855546941 \tabularnewline
0.76 & 2.51891574273527 & 0.0299899304470129 \tabularnewline
0.77 & 2.5258728289674 & 0.0299149712859655 \tabularnewline
0.78 & 2.53303075607951 & 0.0301565034490653 \tabularnewline
0.79 & 2.54050815928973 & 0.0309152294126482 \tabularnewline
0.8 & 2.54845780747728 & 0.0323452458612318 \tabularnewline
0.81 & 2.55705104288636 & 0.0344815599624821 \tabularnewline
0.82 & 2.56645274414193 & 0.0372148939004318 \tabularnewline
0.83 & 2.5767911002494 & 0.0402787128003331 \tabularnewline
0.84 & 2.58812884267435 & 0.0433091596331393 \tabularnewline
0.85 & 2.6004434456599 & 0.0459050389521094 \tabularnewline
0.86 & 2.6136227040551 & 0.0477030777194149 \tabularnewline
0.87 & 2.62747923917023 & 0.0484580831588215 \tabularnewline
0.88 & 2.64178372422389 & 0.0480863143662321 \tabularnewline
0.89 & 2.65631308111153 & 0.0466862153835534 \tabularnewline
0.9 & 2.67090724755862 & 0.0445445428436386 \tabularnewline
0.91 & 2.68552572205739 & 0.0420992872015699 \tabularnewline
0.92 & 2.70029120491718 & 0.039876132162936 \tabularnewline
0.93 & 2.71550470664272 & 0.0383780752052379 \tabularnewline
0.94 & 2.7316375908775 & 0.0378696228020572 \tabularnewline
0.95 & 2.74940640352162 & 0.0381246595594668 \tabularnewline
0.96 & 2.77020437542587 & 0.0387679550659448 \tabularnewline
0.97 & 2.79692902488715 & 0.0418995571805491 \tabularnewline
0.98 & 2.83342500247155 & 0.0557934163924998 \tabularnewline
0.99 & 2.87804563358196 & 0.0848603330292742 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=167690&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]1.87213123094432[/C][C]0.080153311342912[/C][/ROW]
[ROW][C]0.02[/C][C]1.91424585028033[/C][C]0.0523096224302189[/C][/ROW]
[ROW][C]0.03[/C][C]1.94755862655069[/C][C]0.0347490231873833[/C][/ROW]
[ROW][C]0.04[/C][C]1.97023940461363[/C][C]0.0286966586402065[/C][/ROW]
[ROW][C]0.05[/C][C]1.98661882020417[/C][C]0.0285776512907233[/C][/ROW]
[ROW][C]0.06[/C][C]2.0002434547355[/C][C]0.0297357995022961[/C][/ROW]
[ROW][C]0.07[/C][C]2.01273061666324[/C][C]0.0305517688906533[/C][/ROW]
[ROW][C]0.08[/C][C]2.02461702995599[/C][C]0.0311652095279792[/C][/ROW]
[ROW][C]0.09[/C][C]2.03612232844197[/C][C]0.0322458140350503[/C][/ROW]
[ROW][C]0.1[/C][C]2.04746182988938[/C][C]0.0342208498929356[/C][/ROW]
[ROW][C]0.11[/C][C]2.05886887645599[/C][C]0.0369574292753066[/C][/ROW]
[ROW][C]0.12[/C][C]2.07051477148522[/C][C]0.0399025149293677[/C][/ROW]
[ROW][C]0.13[/C][C]2.08243974797266[/C][C]0.0423901391882341[/C][/ROW]
[ROW][C]0.14[/C][C]2.09453845966525[/C][C]0.043896112814784[/C][/ROW]
[ROW][C]0.15[/C][C]2.10659756457643[/C][C]0.0441689780121303[/C][/ROW]
[ROW][C]0.16[/C][C]2.11836114654997[/C][C]0.043253210878479[/C][/ROW]
[ROW][C]0.17[/C][C]2.12959645703878[/C][C]0.0414225568152518[/C][/ROW]
[ROW][C]0.18[/C][C]2.14014033638072[/C][C]0.0390669006320089[/C][/ROW]
[ROW][C]0.19[/C][C]2.14991855276359[/C][C]0.0365832370257738[/C][/ROW]
[ROW][C]0.2[/C][C]2.15894074742639[/C][C]0.034290983912926[/C][/ROW]
[ROW][C]0.21[/C][C]2.16727974689845[/C][C]0.0323935046044121[/C][/ROW]
[ROW][C]0.22[/C][C]2.17504524714538[/C][C]0.0309667081493056[/C][/ROW]
[ROW][C]0.23[/C][C]2.18235963642431[/C][C]0.0300067329417567[/C][/ROW]
[ROW][C]0.24[/C][C]2.18934005804208[/C][C]0.029456618233482[/C][/ROW]
[ROW][C]0.25[/C][C]2.19608749391415[/C][C]0.0292309220477099[/C][/ROW]
[ROW][C]0.26[/C][C]2.20268162160068[/C][C]0.0292429123552971[/C][/ROW]
[ROW][C]0.27[/C][C]2.20917955159237[/C][C]0.0294073153721822[/C][/ROW]
[ROW][C]0.28[/C][C]2.21561683592042[/C][C]0.0296268242061182[/C][/ROW]
[ROW][C]0.29[/C][C]2.22200976248115[/C][C]0.0298271596234[/C][/ROW]
[ROW][C]0.3[/C][C]2.22835847501618[/C][C]0.0299428463670019[/C][/ROW]
[ROW][C]0.31[/C][C]2.23465071138478[/C][C]0.0299274624756393[/C][/ROW]
[ROW][C]0.32[/C][C]2.24086597204241[/C][C]0.0297514514590869[/C][/ROW]
[ROW][C]0.33[/C][C]2.2469798523724[/C][C]0.0294185723874586[/C][/ROW]
[ROW][C]0.34[/C][C]2.25296821929856[/C][C]0.0289347869387313[/C][/ROW]
[ROW][C]0.35[/C][C]2.25881093641184[/C][C]0.0283407037450335[/C][/ROW]
[ROW][C]0.36[/C][C]2.2644949240622[/C][C]0.027676234827722[/C][/ROW]
[ROW][C]0.37[/C][C]2.27001642870861[/C][C]0.0269960782932387[/C][/ROW]
[ROW][C]0.38[/C][C]2.27538242583998[/C][C]0.0263568083531706[/C][/ROW]
[ROW][C]0.39[/C][C]2.28061108611231[/C][C]0.025826658724681[/C][/ROW]
[ROW][C]0.4[/C][C]2.2857312257008[/C][C]0.0254550325423871[/C][/ROW]
[ROW][C]0.41[/C][C]2.29078068648333[/C][C]0.0252997090952593[/C][/ROW]
[ROW][C]0.42[/C][C]2.29580368397722[/C][C]0.0253957828942664[/C][/ROW]
[ROW][C]0.43[/C][C]2.30084732058333[/C][C]0.0257461066938574[/C][/ROW]
[ROW][C]0.44[/C][C]2.30595764932202[/C][C]0.0263352747441036[/C][/ROW]
[ROW][C]0.45[/C][C]2.31117582526602[/C][C]0.0271235529862169[/C][/ROW]
[ROW][C]0.46[/C][C]2.31653493627094[/C][C]0.0280458990505663[/C][/ROW]
[ROW][C]0.47[/C][C]2.32205802607458[/C][C]0.0290382320697545[/C][/ROW]
[ROW][C]0.48[/C][C]2.32775761676881[/C][C]0.0300376893395065[/C][/ROW]
[ROW][C]0.49[/C][C]2.33363674844218[/C][C]0.0309963579666912[/C][/ROW]
[ROW][C]0.5[/C][C]2.33969124993037[/C][C]0.0318804533002183[/C][/ROW]
[ROW][C]0.51[/C][C]2.34591270762208[/C][C]0.0326801072039472[/C][/ROW]
[ROW][C]0.52[/C][C]2.35229146460075[/C][C]0.0334112198835873[/C][/ROW]
[ROW][C]0.53[/C][C]2.35881898777976[/C][C]0.0340837912722354[/C][/ROW]
[ROW][C]0.54[/C][C]2.36548908342181[/C][C]0.0347250809677767[/C][/ROW]
[ROW][C]0.55[/C][C]2.3722976927631[/C][C]0.0353519999466573[/C][/ROW]
[ROW][C]0.56[/C][C]2.37924131242335[/C][C]0.0359623731104841[/C][/ROW]
[ROW][C]0.57[/C][C]2.38631440206564[/C][C]0.0365448828780621[/C][/ROW]
[ROW][C]0.58[/C][C]2.39350640526092[/C][C]0.0370602164647464[/C][/ROW]
[ROW][C]0.59[/C][C]2.40079916428866[/C][C]0.0374570596676591[/C][/ROW]
[ROW][C]0.6[/C][C]2.40816551346939[/C][C]0.037674777487252[/C][/ROW]
[ROW][C]0.61[/C][C]2.41556966724425[/C][C]0.0376634666127362[/C][/ROW]
[ROW][C]0.62[/C][C]2.42296968705998[/C][C]0.0373898949712223[/C][/ROW]
[ROW][C]0.63[/C][C]2.43032186023582[/C][C]0.0368502630900201[/C][/ROW]
[ROW][C]0.64[/C][C]2.43758633694684[/C][C]0.0360688015448937[/C][/ROW]
[ROW][C]0.65[/C][C]2.44473295970197[/C][C]0.035124296860121[/C][/ROW]
[ROW][C]0.66[/C][C]2.45174600322472[/C][C]0.0341051296506257[/C][/ROW]
[ROW][C]0.67[/C][C]2.45862661935333[/C][C]0.0331143038317007[/C][/ROW]
[ROW][C]0.68[/C][C]2.46539219248209[/C][C]0.0322534466096353[/C][/ROW]
[ROW][C]0.69[/C][C]2.47207251224113[/C][C]0.0315864243673598[/C][/ROW]
[ROW][C]0.7[/C][C]2.47870352395968[/C][C]0.0311348552761958[/C][/ROW]
[ROW][C]0.71[/C][C]2.48532021257168[/C][C]0.0308611185703083[/C][/ROW]
[ROW][C]0.72[/C][C]2.49195067542295[/C][C]0.0307054932574063[/C][/ROW]
[ROW][C]0.73[/C][C]2.49861344798943[/C][C]0.0305752295671637[/C][/ROW]
[ROW][C]0.74[/C][C]2.50531957117624[/C][C]0.0304106937647097[/C][/ROW]
[ROW][C]0.75[/C][C]2.51207977945304[/C][C]0.0301973855546941[/C][/ROW]
[ROW][C]0.76[/C][C]2.51891574273527[/C][C]0.0299899304470129[/C][/ROW]
[ROW][C]0.77[/C][C]2.5258728289674[/C][C]0.0299149712859655[/C][/ROW]
[ROW][C]0.78[/C][C]2.53303075607951[/C][C]0.0301565034490653[/C][/ROW]
[ROW][C]0.79[/C][C]2.54050815928973[/C][C]0.0309152294126482[/C][/ROW]
[ROW][C]0.8[/C][C]2.54845780747728[/C][C]0.0323452458612318[/C][/ROW]
[ROW][C]0.81[/C][C]2.55705104288636[/C][C]0.0344815599624821[/C][/ROW]
[ROW][C]0.82[/C][C]2.56645274414193[/C][C]0.0372148939004318[/C][/ROW]
[ROW][C]0.83[/C][C]2.5767911002494[/C][C]0.0402787128003331[/C][/ROW]
[ROW][C]0.84[/C][C]2.58812884267435[/C][C]0.0433091596331393[/C][/ROW]
[ROW][C]0.85[/C][C]2.6004434456599[/C][C]0.0459050389521094[/C][/ROW]
[ROW][C]0.86[/C][C]2.6136227040551[/C][C]0.0477030777194149[/C][/ROW]
[ROW][C]0.87[/C][C]2.62747923917023[/C][C]0.0484580831588215[/C][/ROW]
[ROW][C]0.88[/C][C]2.64178372422389[/C][C]0.0480863143662321[/C][/ROW]
[ROW][C]0.89[/C][C]2.65631308111153[/C][C]0.0466862153835534[/C][/ROW]
[ROW][C]0.9[/C][C]2.67090724755862[/C][C]0.0445445428436386[/C][/ROW]
[ROW][C]0.91[/C][C]2.68552572205739[/C][C]0.0420992872015699[/C][/ROW]
[ROW][C]0.92[/C][C]2.70029120491718[/C][C]0.039876132162936[/C][/ROW]
[ROW][C]0.93[/C][C]2.71550470664272[/C][C]0.0383780752052379[/C][/ROW]
[ROW][C]0.94[/C][C]2.7316375908775[/C][C]0.0378696228020572[/C][/ROW]
[ROW][C]0.95[/C][C]2.74940640352162[/C][C]0.0381246595594668[/C][/ROW]
[ROW][C]0.96[/C][C]2.77020437542587[/C][C]0.0387679550659448[/C][/ROW]
[ROW][C]0.97[/C][C]2.79692902488715[/C][C]0.0418995571805491[/C][/ROW]
[ROW][C]0.98[/C][C]2.83342500247155[/C][C]0.0557934163924998[/C][/ROW]
[ROW][C]0.99[/C][C]2.87804563358196[/C][C]0.0848603330292742[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=167690&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=167690&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.011.872131230944320.080153311342912
0.021.914245850280330.0523096224302189
0.031.947558626550690.0347490231873833
0.041.970239404613630.0286966586402065
0.051.986618820204170.0285776512907233
0.062.00024345473550.0297357995022961
0.072.012730616663240.0305517688906533
0.082.024617029955990.0311652095279792
0.092.036122328441970.0322458140350503
0.12.047461829889380.0342208498929356
0.112.058868876455990.0369574292753066
0.122.070514771485220.0399025149293677
0.132.082439747972660.0423901391882341
0.142.094538459665250.043896112814784
0.152.106597564576430.0441689780121303
0.162.118361146549970.043253210878479
0.172.129596457038780.0414225568152518
0.182.140140336380720.0390669006320089
0.192.149918552763590.0365832370257738
0.22.158940747426390.034290983912926
0.212.167279746898450.0323935046044121
0.222.175045247145380.0309667081493056
0.232.182359636424310.0300067329417567
0.242.189340058042080.029456618233482
0.252.196087493914150.0292309220477099
0.262.202681621600680.0292429123552971
0.272.209179551592370.0294073153721822
0.282.215616835920420.0296268242061182
0.292.222009762481150.0298271596234
0.32.228358475016180.0299428463670019
0.312.234650711384780.0299274624756393
0.322.240865972042410.0297514514590869
0.332.24697985237240.0294185723874586
0.342.252968219298560.0289347869387313
0.352.258810936411840.0283407037450335
0.362.26449492406220.027676234827722
0.372.270016428708610.0269960782932387
0.382.275382425839980.0263568083531706
0.392.280611086112310.025826658724681
0.42.28573122570080.0254550325423871
0.412.290780686483330.0252997090952593
0.422.295803683977220.0253957828942664
0.432.300847320583330.0257461066938574
0.442.305957649322020.0263352747441036
0.452.311175825266020.0271235529862169
0.462.316534936270940.0280458990505663
0.472.322058026074580.0290382320697545
0.482.327757616768810.0300376893395065
0.492.333636748442180.0309963579666912
0.52.339691249930370.0318804533002183
0.512.345912707622080.0326801072039472
0.522.352291464600750.0334112198835873
0.532.358818987779760.0340837912722354
0.542.365489083421810.0347250809677767
0.552.37229769276310.0353519999466573
0.562.379241312423350.0359623731104841
0.572.386314402065640.0365448828780621
0.582.393506405260920.0370602164647464
0.592.400799164288660.0374570596676591
0.62.408165513469390.037674777487252
0.612.415569667244250.0376634666127362
0.622.422969687059980.0373898949712223
0.632.430321860235820.0368502630900201
0.642.437586336946840.0360688015448937
0.652.444732959701970.035124296860121
0.662.451746003224720.0341051296506257
0.672.458626619353330.0331143038317007
0.682.465392192482090.0322534466096353
0.692.472072512241130.0315864243673598
0.72.478703523959680.0311348552761958
0.712.485320212571680.0308611185703083
0.722.491950675422950.0307054932574063
0.732.498613447989430.0305752295671637
0.742.505319571176240.0304106937647097
0.752.512079779453040.0301973855546941
0.762.518915742735270.0299899304470129
0.772.52587282896740.0299149712859655
0.782.533030756079510.0301565034490653
0.792.540508159289730.0309152294126482
0.82.548457807477280.0323452458612318
0.812.557051042886360.0344815599624821
0.822.566452744141930.0372148939004318
0.832.57679110024940.0402787128003331
0.842.588128842674350.0433091596331393
0.852.60044344565990.0459050389521094
0.862.61362270405510.0477030777194149
0.872.627479239170230.0484580831588215
0.882.641783724223890.0480863143662321
0.892.656313081111530.0466862153835534
0.92.670907247558620.0445445428436386
0.912.685525722057390.0420992872015699
0.922.700291204917180.039876132162936
0.932.715504706642720.0383780752052379
0.942.73163759087750.0378696228020572
0.952.749406403521620.0381246595594668
0.962.770204375425870.0387679550659448
0.972.796929024887150.0418995571805491
0.982.833425002471550.0557934163924998
0.992.878045633581960.0848603330292742


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')